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PathPlanner.py
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PathPlanner.py
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from Map import *
from PyQt5.QtCore import QThread, pyqtSignal, pyqtSlot
import math
import queue
'''Includes all the logic functions related to generating spanning tree and robot path
'''
class PathPlanner():
# reads in a map object and the starting position of robot in that map
def __init__(self, m, rx, ry):
self.map = m
# direction in the sequence E S W N
self.direction = [[1,0],[0,-1],[-1,0],[0,1]]
# prints out debugging info of st(spanning tree) to console if set to True
self.DEBUGst = False
# prints out debugging info of draw_path to console if set to True
self.DEBUGdp = False
# root of the spanning tree
self.root = Block(-1,-1)
# starting position of the robot
self.start = Point(-1, -1)
self.robot_dir = 0
(start_x, start_y) = self.map.to_point_coor(rx, ry)
self.root = Block(
point_to_block(start_x,start_y)[0],
point_to_block(start_x,start_y)[1])
# @return the number of nodes from this node
# TODO: not working
def depth(self, node):
def depth_aux(n, dpth):
for i in range(4):
if (n.children[i]!=None):
return depth_aux(n.children[i], dpth+1)
else :
return dpth
return depth_aux(node, 0)
# generate a spanning tree from robot's position
# IMPORTANT: it now stops generating when it backtraces to root and finds no
# next possible node. Earlier it stops when all blocks are visited
def spanning_tree(self):
now = self.root
self.map.vis[(now.x,now.y)] = 1
while (True):
if (self.DEBUGst):
print("now at (%d, %d) %d" %(now.x, now.y, self.map.vis[(now.x,now.y)]))
if (self.DEBUGst):
print("current depth is %d" %(depth(self.root)))
print("what is this then %d" %(self.map.recorder))
# stop generating if all nodes are found
# if (self.map.recorder == self.map.block_num):
# print("all nodes found")
# break
# looking for blocks that have not been visited
found = False
for i in range(4):
nextx = now.x + self.direction[i][0] * 2
nexty = now.y + self.direction[i][1] * 2
if (self.DEBUGst):
print("next is (%d, %d)" %(nextx, nexty))
if (self.map.is_valid_block(nextx,nexty) and
self.map.vis[(nextx,nexty)]<1):
next = Block(nextx, nexty)
self.map.vis[(nextx,nexty)] = self.map.vis[(nextx,nexty)] + 1
next.parent = now
now.children[i] = next
now = next
found = True
self.map.recorder = self.map.recorder + 1
break
# if we cannot find a node that hasn't been visited from current node,
# we should start tracing back to the first node satisfying condition
if (not found):
if self.DEBUGst:
print ("tracing back")
new_found = False
while (True):
now = now.parent
# Edited: Rather than meaning no solution, it means path
# generating has finished
if (now == None):
return
# raise Exception("no solution")
for i in range(4):
nextx = now.x + self.direction[i][0] * 2
nexty = now.y + self.direction[i][1] * 2
if (self.DEBUGst):
print("next is (%d, %d) %d " %(nextx, nexty,self.map.vis[(nextx,nexty)]))
if (self.map.is_valid_block(nextx,nexty) and
self.map.vis[(nextx,nexty)]<1):
next = Block(nextx, nexty)
self.map.vis[(nextx,nexty)] = self.map.vis[(nextx,nexty)] + 1
next.parent = now
now.children[i] = next
now = next
new_found = True
self.map.recorder = self.map.recorder + 1
break
if new_found:
break
# print out the quadtree starting from [node] to console
# This function isn't always working as it requires many layers of recursion
def show_sp(self, node):
print("now at (" + str(node.x) + ", " + str(node.y) +") ")
has_children = False
for i in range(4):
if(node.children[i] != None):
has_children = True
print(
"(" + str(node.x) + ", " + str(node.y) +") ->" \
+ "(" + str(node.children[i].x) + ", " \
+ str(node.children[i].y) +")")
show_sp(node.children[i])
if not has_children:
print("(" + str(node.x) + ", " + str(node.y) +") ->" + "None")
# robot in point [now] facing [dr] moves direct to the next position
def move_direct(self, now, dr):
if (self.DEBUGdp):
print("trying to move direct ...")
next = Point();
if (dr == 1 or dr == 3) :
next.x = now.x;
next.y = now.y + (-2 if dr == 1 else 2)
elif ( dr == 0 or dr == 2):
next.y = now.y;
next.x = now.x + (2 if dr == 0 else -2)
else:
raise Exception ("dr is not in the range [0,3]")
next.last = now;
now.next = next;
if (self.DEBUGdp):
print("(%d, %d)" %(next.x, next.y))
return next;
# robot in point [now] facing [dr] turns right and moves to the next position
def turn_right(self, now, dr):
if (self.DEBUGdp):
print("trying to turn right...")
toturn = Point()
turned = Point()
if dr == 0:
toturn.x = now.x + 1
toturn.y = now.y
turned.x = toturn.x
turned.y = toturn.y - 2
elif dr == 1:
toturn.x = now.x
toturn.y = now.y - 1
turned.x = toturn.x - 2
turned.y = toturn.y
elif dr == 2:
toturn.x = now.x - 1
toturn.y = now.y
turned.x = toturn.x
turned.y = toturn.y + 2
elif dr == 3:
toturn.x = now.x
toturn.y = now.y + 1
turned.x = toturn.x + 2
turned.y = toturn.y
else:
raise Exception ("dr is not in the range [0,3]")
toturn.last = now
now.next = toturn
turned.last = toturn
toturn.next = turned
if (self.DEBUGdp):
print("(%d, %d)" %(toturn.x, toturn.y))
print("(%d, %d)" %(turned.x, turned.y))
return turned
# robot in point [now] facing [dr] turns left and moves to the next position
def turn_left(self, now, dr):
if (self.DEBUGdp):
print("trying to turn left...")
next = Point()
if (dr == 1 or dr == 3):
next.x = now.x + (1 if dr==1 else -1)
next.y = now.y
elif (dr == 0 or dr == 2):
next.x = now.x
next.y = now.y + (1 if dr==0 else -1)
else:
raise Exception ("dr is not in the range [0,3]")
next.last = now
now.next = next
if (self.DEBUGdp):
print("(%d, %d)" %(next.x, next.y))
return next
# robot in point [now] facing [dr] makes a turn and moves to the next position
def turn_around(self, now, dr):
if (self.DEBUGdp):
print("trying to turn around...")
turn1 = Point()
turn2 = Point()
turned = Point()
if dr == 0:
turn1.x = now.x + 1
turn1.y = now.y
turn2.x = turn1.x
turn2.y = turn1.y - 1
turned.x = turn2.x - 2
turned.y = turn2.y
elif dr == 1:
turn1.x = now.x
turn1.y = now.y - 1
turn2.x = turn1.x - 1
turn2.y = turn1.y
turned.x = turn2.x
turned.y = turn2.y + 2
elif dr == 2:
turn1.x = now.x - 1
turn1.y = now.y
turn2.x = turn1.x
turn2.y = turn1.y + 1
turned.x = turn2.x + 2
turned.y = turn2.y
elif dr == 3:
turn1.x = now.x
turn1.y = now.y + 1
turn2.x = turn1.x + 1
turn2.y = turn1.y
turned.x = turn2.x
turned.y = turn2.y - 2
else:
raise Exception ("dr is not in the range [0,3]")
turn1.last = now
now.next = turn1
turn2.last = turn1
turn1.next = turn2
turned.last = turn2
turn2.next = turned
if (self.DEBUGdp):
print("(%d, %d)" %(turn1.x, turn1.y))
print("(%d, %d)" %(turn2.x, turn2.y))
print("(%d, %d)" %(turned.x, turned.y))
return turned
# @return initialized robot position as a point object
# and initialized robot direction
# initialize the robot's position according to the first edge from root node
# the initialized position also follows robot position rule specifed in the
# head comment(not surpassing edge end node, wall always on robot's right side)
def initialize_position(self):
if self.map.graph[(self.root.x, self.root.y, 0)]:
return (Point(self.root.x+1, self.root.y), 0)
elif self.map.graph[(self.root.x, self.root.y, 1)]:
return (Point(self.root.x, self.root.y-1), 1)
elif self.map.graph[(self.root.x, self.root.y, 2)]:
return (Point(self.root.x-2, self.root.y), 2)
elif self.map.graph[(self.root.x, self.root.y, 3)]:
return (Point(self.root.x-1, self.root.y+1), 3)
else :
raise Exception ("No edge from toot, Graph not initialized")
# initialize self.map.graph, robot position, and robot direction
# used a queue to avoid exceeding maximu recursion level
def initialize_graph(self):
for i in range(0, self.map.width+2):
for j in range(0, self.map.height+2):
for k in range(4):
self.map.graph[(i, j, k)] = 0
q = queue.Queue()
def initialize_graph_aux(now):
for i in range(4):
next = now.children[i]
if (next!=None) :
self.map.graph[(now.x, now.y, i)] = 1
self.map.graph[(next.x, next.y, (i+2)%4)] = 1
q.put(next)
initialize_graph_aux(self.root)
while not q.empty() :
initialize_graph_aux(q.get())
(self.start, self.robot_dir) = self.initialize_position()
'''Draws the robot's path around generated spanning tree
draw_path() first initializes a graph of wall(spanning tree), along which the
robot runs, and the robot's initial position.
It then starts to draw path. Recall the wall is always on the robot's right side.
1. When we encounter a wall ahead of us, we turn left.
2. When the wall extends along with direction unchanged,
we follow this wall and go direct.
3. When the wall turns right, the robot turns right too.
4. When none of the above condition is satisfied,
we reached the end of an edge and should turn around to the other side.
It repeats the above 4 actions until it completes a round trip along the wall,
that's when it reaches back to the initial position.
'''
def draw_path(self):
self.initialize_graph()
now = self.start
if self.DEBUGdp:
print("now at (%d, %d)" %(now.x, now.y))
do = True
while (now.x != self.start.x or now.y != self.start.y) or do:
do = False
if self.DEBUGdp:
print("now at (%d, %d) facing %d" %(now.x, now.y, self.robot_dir))
(block_x, block_y) = point_to_block(now.x, now.y)
# block_x = get_block_coor(now.x)
# block_y = get_block_coor(now.y)
#TODO: comment
if self.map.graph[(block_x, block_y, (self.robot_dir+3)%4)]: #先判定左孩子,其实是 (dir-1)%4
now = self.turn_left(now, self.robot_dir)
self.robot_dir = (self.robot_dir+3) % 4
elif self.map.graph[(block_x, block_y, (self.robot_dir))]:
now = self.move_direct(now, self.robot_dir)
elif self.map.graph[(block_x, block_y, (self.robot_dir+1)%4)]:
now = self.turn_right(now, self.robot_dir)
self.robot_dir = (self.robot_dir+1) % 4
elif self.map.graph[(block_x, block_y, (self.robot_dir+2)%4)]:
now = self.turn_around(now, self.robot_dir)
self.robot_dir = (self.robot_dir+2) % 4
else :
raise Exception ("no solution")
# convert robot's path, stored in linked list, to a python list
def get_path(self):
result = []
now = self.start
do = True
while (now.x != self.start.x or now.y != self.start.y) or do:
do = False
# result.append((now.x * self.map.robot_len, now.y * self.map.robot_len))
result.append((now.x, now.y))
now = now.next
return result